44 research outputs found

    Damage to fronto-parietal networks impairs motor imagery ability after stroke : a voxel-based lesion symptom mapping study

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    Background: mental practice with motor imagery has been shown to promote motor skill acquisition in healthy subjects and patients. Although lesions of the common motor imagery and motor execution neural network are expected to impair motor imagery ability, functional equivalence appears to be at least partially preserved in stroke patients.Aim: to identify brain regions that are mandatory for preserved motor imagery ability after stroke.Method: thirty-seven patients with hemiplegia after a first time stroke participated. Motor imagery ability was measured using a Motor Imagery questionnaire and temporal congruence test. A voxelwise lesion symptom mapping approach was used to identify neural correlates of motor imagery in this cohort within the first year post-stroke.Results: poor motor imagery vividness was associated with lesions in the left putamen, left ventral premotor cortex and long association fibres linking parieto-occipital regions with the dorsolateral premotor and prefrontal areas. Poor temporal congruence was otherwise linked to lesions in the more rostrally located white matter of the superior corona radiata. Conclusion: This voxel-based lesion symptom mapping study confirms the association between white matter tract lesions and impaired motor imagery ability, thus emphasizing the importance of an intact fronto-parietal network for motor imagery. Our results further highlight the crucial role of the basal ganglia and premotor cortex when performing motor imagery tasks

    The Neural Basis of Age-Related Changes in Motor Imagery of Gait: An fMRI Study

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    Background. Aging is often associated with modifications of gait. Recent studies have revealed a strong relationship between gait and executive functions in healthy and pathological aging. We hypothesized that modification of gait due to aging may be related to changes in frontal lobe function. Methods. Fourteen younger (27.0±3.6 years) and 14 older healthy adults (66.0±3.5 years) performed a motor imagery task of gait as well as a matched visual imagery task. Task difficulty was modulated to investigate differential activation for precise control of gait. Task performance was assessed by recording motor imagery latencies, eye movements, and electromyography during functional magnetic resonance imaging scanning. Results. Our results showed that both healthy older and young adults recruited a network of brain regions comprising the bilateral supplementary motor cortex and primary motor cortex, right prefrontal cortex, and cerebellum, during motor imagery of gait. We observed an age-related increase in brain activity in the right supplementary motor area (BA6), the right orbitofrontal cortex (BA11), and the left dorsolateral frontal cortex (BA10). Activity in the left hippocampus was significantly modulated by task difficulty in the elderly participants. Executive functioning correlated with magnitude of increases in right primary motor cortex (BA4) during the motor imagery task. Conclusions. Besides demonstrating a general overlap in brain regions recruited in young and older participants, this study shows age-related changes in cerebral activation during mental imagery of gait. Our results underscore the importance of executive function (dorsolateral frontal cortex) and spatial navigation or memory function (hippocampus) in gait control in elderly individual

    FDG uptake and walking ability

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    Includes bibliographical references.Motor impairments of the upper and lower extremities are common symptoms of multiple sclerosis (MS). While some peripheral effects like muscle weakness and loss of balance have been shown to influence these symptoms, central nervous system activity has not been fully elucidated. The purpose of this study was to determine if alterations in glucose uptake were associated with motor impairments in patients with multiple sclerosis. Eight patients with multiple sclerosis (4 men) and 8 sex matched healthy controls performed 15 minutes of treadmill walking at a self-selected pace, during which ≈ 322 MBq of the positron emission tomography glucose analogue [18F]-Fluorodeoxyglucose was injected. Immediately after the cessation of walking, participants underwent positron emission tomography imaging. Patients with MS had lower FDG uptake in ≈ 40% of the brain compared to the healthy controls (pFWE-corr > 0.001, qFDR-corr -0.75, P < 0.032). Within patients with MS only 3 of the 15 regions showed significant correlations: insula (r = -0.74, P = 0.036), hippocampus (r = -0.72, P = 0.045), and calcarine sulcus (r = -0.77, P = 0.026). This data suggests that walking impairments in patients with MS may be due to network wide alterations in glucose metabolism. Understanding how brain activity and metabolism are altered in patients with MS may allow for better measures of disability and disease status within this clinical population.Published with support from the Colorado State University Libraries Open Access Research and Scholarship Fund

    Biomechanical and Neural Factors Associated with Gait Dysfunction and Freezing in People with Parkinson Disease

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    Parkinson disease: PD) is a progressive neurological disorder with no known cure, affecting one million Americans. Half of those with PD experience freezing of gait: FOG), manifested as an inability to complete effective stepping. Gait dysfunction and FOG are associated with falls, severe injury, and reduced quality of life, and are among the most disabling and distressing symptoms of PD. The causes of FOG and gait dysfunction are not well understood. Further, FOG is notoriously difficult to elicit in a laboratory setting, making efforts to track or identify individuals at risk for freezing difficult. An important first step in determining the mechanism of gait dysfunction and FOG is to identify factors associated with these symptoms. Therefore, the overall goal of this project was to better understand how pathologies of movement and brain function are associated with gait dysfunction and FOG. To this end we conducted three experiments: chapters 2-4). In experiment 1: chapter 2), we assessed the relationship between coordination of steps and freezing of gait. Results suggested that individuals with PD who freeze exhibit worse coordination than those who do not freeze, and further, that tasks related to freezing: turning and backward walking) resulted in worse coordination than forward walking. Finally, there was a significant positive correlation between freezing severity and global coordination of steps. These results together support the hypothesized relationship between coordination of steps and freezing. In experiment 2: chapter 3), we investigated neural signals associated with gait dysfunction: measured via blood oxygen level dependent [BOLD] signal) in those with PD compared to healthy adults. We found that during complex gait tasks, those with PD activated the supplementary motor area more than healthy adults. In addition, we observed reduced activity in the globus pallidus in people with PD. Finally, PD exhibited consistent positive correlations between a measure of gait function: overground walking velocity) and brain activation such that those with higher brain activity exhibited better gait function. In experiment 3: chapter 4), we investigated the neural underpinnings of freezing of gait. Specifically, we looked at gait imagery in those with PD who do experience freezing: freezers) and those who do not: non-freezers). We found those who experience freezing exhibited reduced BOLD signal in the cerebellar locomotor region, suggesting dysfunctional activity in this region may play a role in freezing. BOLD response within freezer and non-freezer groups were not consistently correlated to functional gait measures such as overground gait speed or freezing severity. Together these results better elucidate how pathologies of movement: i.e. coordination of steps) and neural function are related to gait dysfunction and freezing. Specifically, we found that coordination of steps and activity of the cerebellar locomotor regions may be related to freezing. Further, altered activation of the globus pallidus may be related to gait dysfunction in those with PD, and generally, larger BOLD response is correlated to improved overground gait function

    Motor imagery in amyotrophic lateral Sclerosis: An fMRI study of postural control

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    BACKGROUND: The functional reorganization of brain networks sustaining gait is poorly characterized in amyotrophic lateral sclerosis (ALS) despite ample evidence of progressive disconnection between brain regions. The main objective of this fMRI study is to assess gait imagery-specific networks in ALS patients using dynamic causal modeling (DCM) complemented by parametric empirical Bayes (PEB) framework. METHOD: Seventeen lower motor neuron predominant (LMNp) ALS patients, fourteen upper motor neuron predominant (UMNp) ALS patients and fourteen healthy controls participated in this study. Each subject performed a dual motor imagery task: normal and precision gait. The Movement Imagery Questionnaire (MIQ-rs) and imagery time (IT) were used to evaluate gait imagery in each participant. In a neurobiological computational model, the circuits involved in imagined gait and postural control were investigated by modelling the relationship between normal/precision gait and connection strengths. RESULTS: Behavioral results showed significant increase in IT in UMNp patients compared to healthy controls (P(corrected) < 0.05) and LMNp (P(corrected) < 0.05). During precision gait, healthy controls activate the model's circuits involved in the imagined gait and postural control. In UMNp, decreased connectivity (inhibition) from basal ganglia (BG) to supplementary motor area (SMA) and from SMA to posterior parietal cortex (PPC) is observed. Contrary to healthy controls, DCM detects no cerebellar-PPC connectivity in neither UMNp nor LMNp ALS. During precision gait, bilateral connectivity (excitability) between SMA and BG is observed in the LMNp group contrary to UMNp and healthy controls. CONCLUSIONS: Our findings demonstrate the utility of implementing both DCM and PEB to characterize connectivity patterns in specific patient phenotypes. Our approach enables the identification of specific circuits involved in postural deficits, and our findings suggest a putative excitatory–inhibitory imbalance. More broadly, our data demonstrate how clinical manifestations are underpinned by network-specific disconnection phenomena in ALS

    EEG During Pedaling: Evidence for Cortical Control of Locomotor Tasks

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    Objective: This study characterized the brain electrical activity during pedaling, a locomotor-like task, in humans. We postulated that phasic brain activity would be associated with active pedaling, consistent with a cortical role in locomotor tasks. Methods: Sixty four channels of electroencephalogram (EEG) and 10 channels of electromyogram (EMG) data were recorded from 10 neurologically-intact volunteers while they performed active and passive (no effort) pedaling on a custom-designed stationary bicycle. Ensemble averaged waveforms, 2 dimensional topographic maps and amplitude of the β (13–35 Hz) frequency band were analyzed and compared between active and passive trials. Results: The peak-to-peak amplitude (peak positive–peak negative) of the EEG waveform recorded at the Cz electrode was higher in the passive than the active trials (p \u3c 0.01). β-band oscillations in electrodes overlying the leg representation area of the cortex were significantly desynchronized during active compared to the passive pedaling (p \u3c 0.01). A significant negative correlation was observed between the average EEG waveform for active trials and the composite EMG (summated EMG from both limbs for each muscle) of the rectus femoris (r = −0.77, p \u3c 0.01) the medial hamstrings (r = −0.85, p \u3c 0.01) and the tibialis anterior (r = −0.70, p \u3c 0.01) muscles. Conclusions: These results demonstrated that substantial sensorimotor processing occurs in the brain during pedaling in humans. Further, cortical activity seemed to be greatest during recruitment of the muscles critical for transitioning the legs from flexion to extension and vice versa. Significance: This is the first study demonstrating the feasibility of EEG recording during pedaling, and owing to similarities between pedaling and bipedal walking, may provide valuable insight into brain activity during locomotion in humans

    Combinations of motor measures more strongly predict adverse health outcomes in old age: the rush memory and aging project, a community-based cohort study

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    <p>Abstract</p> <p>Objective</p> <p>Motor impairment in old age is a growing public-health concern, and several different constructs have been used to identify motor impairments in older people. We tested the hypothesis that combinations of motor constructs more strongly predict adverse health outcomes in older people.</p> <p>Methods</p> <p>In total, 949 people without dementia, history of stroke or Parkinson's disease, who were participating in the Rush Memory and Aging Project (a longitudinal community-based cohort study), underwent assessment at study entry. From this, three constructs were derived: 1) physical frailty based on grip strength, timed walk, body mass index and fatigue; 2) Parkinsonian Signs Score based on the modified motor section of the Unified Parkinson's Disease Rating Scale; and 3) a motor construct, based on nine strength measures and nine motor performances. Disability and cognitive status were assessed annually. A series of Cox proportional-hazards models, controlling for age, sex and education, were used to examine the association of each of these three constructs alone and in various combinations with death, disability and Alzheimer's disease (AD).</p> <p>Results</p> <p>All three constructs were related (mean <it>r </it>= 0.50, all <it>P </it>< 0.001), and when considered individually in separate proportional-hazards models, were associated with risk of death, incident disability and AD. However, when considered together, combinations of these constructs more strongly predicted adverse health outcomes.</p> <p>Conclusions</p> <p>Physical frailty, parkinsonian signs score and global motor score are related constructs that capture different aspects of motor function. Assessments using several motor constructs may more accurately identify people at the highest risk of adverse health consequences in old age.</p
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